Research on Geometric Parameters Optimization of Fixed Frog Based on Particle Swarm Optimization Algorithm

被引：0
|
作者：
Zhang, Rang [1 ]
Shen, Gang [1 ]
Wang, Xujiang [1 ]
机构：
[1] Tongji Univ, Inst Rail Transit, Shanghai 201804, Peoples R China
来源：
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 22期
关键词：
fixed frog; wheel; rail interaction; geometric parameter optimization; PSO;
D O I：
10.3390/app122211549
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
In this paper, to improve the wheel/rail dynamic performance of the vehicle passing through the fixed frog area and improve the service life of the fixed frog, a geometric parameter optimization design method of the fixed frog area is proposed using particle swarm optimization (PSO). Based on the variable section rail profile interpolation algorithm and wheel/rail contact solution algorithm, the wheel/rail contact characteristics of the fixed frog area are analyzed. Then, the vehicle-fixed frog dynamic model is built using a MATLAB/Simulink platform to complete the dynamic calculation and analysis of the rail vehicle passing through the fixed frog area. Finally, based on the wheel/rail contact characteristics of the fixed frog area, and take wheel/rail forces as the optimization goal, the optimization design method for the wing rail lifting value and the nose rail height of the fixed frog area is proposed. The comparative analysis shows that the wheel/rail dynamic performance in the fixed frog area has been greatly improved after optimization, which verifies the feasibility of the optimization strategy.
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页数：21
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